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IJCNN
2008
IEEE
13 years 11 months ago
Numerical condition of feedforward networks with opposite transfer functions
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
Mario Ventresca, Hamid R. Tizhoosh
EUROCRYPT
1999
Springer
13 years 8 months ago
Conditional Oblivious Transfer and Timed-Release Encryption
Abstract. We consider the problem of sending messages into the future." Previous constructions for this task were either based on heuristic assumptions or did not provide anon...
Giovanni Di Crescenzo, Rafail Ostrovsky, Sivaramak...
JPDC
2011
131views more  JPDC 2011»
12 years 11 months ago
Conditional e-payments with transferability
We introduce a novel conditional e-cash protocol allowing future anonymous cashing of bank-issued e-money only upon the satisfaction of an agreedupon public condition. Payers are ...
Bogdan Carbunar, Weidong Shi, Radu Sion
ASIACRYPT
2004
Springer
13 years 10 months ago
Strong Conditional Oblivious Transfer and Computing on Intervals
We consider the problem of securely computing the Greater Than (GT) predicate and its generalization – securely determining membership in a union of intervals. We approach these ...
Ian F. Blake, Vladimir Kolesnikov
NIPS
2007
13 years 5 months ago
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
M. M. Mahmud, Sylvian R. Ray